Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning
Aiming at the problem of limited fault diagnosis performance caused by a single source of historical operating data for wind turbine bearings and a small amount of data， a small sample fault diagnosis method of bearings based on data generation and transfer learning is proposed. First of all， for th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2020-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.11.023 |